Phonetic Representation

Phonetic representation focuses on modeling the sound structure of language, aiming to create robust and efficient representations for various applications. Current research emphasizes developing data-driven methods, including self-supervised learning and generative adversarial networks, often coupled with hidden Markov models or transformer architectures, to improve phonetic segmentation, cross-lingual transfer, and speech processing in low-resource languages. These advancements are crucial for improving speech recognition, language understanding, and text-to-speech systems, particularly for under-resourced languages and sign languages where annotated data is scarce. The development of more effective phonetic representations has significant implications for both linguistic research and technological applications.